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Metaheuristics for resource deployment under uncertainty in complex systems, Ding, Shuxin Chen, Chen Zhang, Qi Xin, Bin Pardalos, Panos M. (uni Of Florida, Usa)


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Автор: Ding, Shuxin Chen, Chen Zhang, Qi Xin, Bin Pardalos, Panos M. (uni Of Florida, Usa)
Название:  Metaheuristics for resource deployment under uncertainty in complex systems
ISBN: 9781032065205
Издательство: Taylor&Francis
Классификация:





ISBN-10: 1032065206
Обложка/Формат: Hardcover
Страницы: 192
Вес: 0.46 кг.
Дата издания: 30.09.2021
Язык: English
Иллюстрации: 38 tables, black and white; 42 line drawings, black and white; 2 halftones, black and white; 44 illustrations, black and white
Размер: 23.39 x 15.60 x 1.27 cm
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Поставляется из: Европейский союз
Описание: Metaheuristics for Resource Deployment under Uncertainty in Complex Systems analyzes how to set locations for the deployment of resources to incur the best performance at the lowest cost. Resources can be static nodes and moving nodes while services for a specific area or for customers can be provided. Theories of modeling and solution techniques are used with uncertainty taken into account and real-world applications used.The authors present modeling and metaheuristics for solving resource deployment problems under uncertainty while the models deployed are related to stochastic programming, robust optimization, fuzzy programming, risk management, and single/multi-objective optimization. The resources are heterogeneous and can be sensors and actuators providing different tasks. Both separate and cooperative coverage of the resources are analyzed. Previous research has generally dealt with one type of resource and considers static and deterministic problems, so the book breaks new ground in its analysis of cooperative coverage with heterogeneous resources and the uncertain and dynamic properties of these resources using metaheuristics.This book will help researchers, professionals, academics, and graduate students in related areas to better understand the theory and application of resource deployment problems and theories of uncertainty, including problem formulations, assumptions, and solution methods.
Дополнительное описание: 1. Introduction2. Stochastic Node Deployment for Area Coverage Problem3. Stochastic Dynamic Node Deployment for Target Coverage Problem4. Robust Node Deployment for Cooperative Coverage Problem5. Fuzzy Node Deployment for Cooperative Coverage Problem6. Si



      Старое издание
Metaheuristics for resource deployment under uncertainty in complex systems

Автор: Ding, Shuxin
Название: Metaheuristics for resource deployment under uncertainty in complex systems
ISBN: 1032065249 ISBN-13(EAN): 9781032065243
Издательство: Taylor&Francis
Цена: 7348.00 р.
Наличие на складе: Есть у поставщикаПоставка под заказ.


Metaheuristics Algorithms in Power Systems

Автор: Erik Cuevas; Emilio Barocio Espejo; Arturo Conde E
Название: Metaheuristics Algorithms in Power Systems
ISBN: 3030115925 ISBN-13(EAN): 9783030115920
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This book discusses the use of efficient metaheuristic algorithms to solve diverse power system problems, providing an overview of the various aspects of metaheuristic methods to enable readers to gain a comprehensive understanding of the field and of conducting studies on specific metaheuristic algorithms related to power-system applications. By bridging the gap between recent metaheuristic techniques and novel power system methods that benefit from the convenience of metaheuristic methods, it offers power system practitioners who are not metaheuristic computation researchers insights into the techniques, which go beyond simple theoretical tools and have been adapted to solve important problems that commonly arise. On the other hand, members of the metaheuristic computation community learn how power engineering problems can be translated into optimization tasks, and it is also of interest to engineers and application developers. Further, since each chapter can be read independently, the relevant information can be quickly found. Power systems is a multidisciplinary field that addresses the multiple approaches used for design and analysis in areas ranging from signal processing, and electronics to computational intelligence, including the current trend of metaheuristic computation.

Handbook of Metaheuristics

Автор: Gendreau
Название: Handbook of Metaheuristics
ISBN: 1441916636 ISBN-13(EAN): 9781441916631
Издательство: Springer
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Цена: 33401.00 р.
Наличие на складе: Поставка под заказ.

Описание: Metaheuristics have grown into one of the most prominent areas of operations research. This update of a trailblazing volume examines the latest developments in the field.

Optimization using evolutionary algorithms and metaheuristics

Автор: Kaushik Kumar and J. Paulo Davim
Название: Optimization using evolutionary algorithms and metaheuristics
ISBN: 0367260441 ISBN-13(EAN): 9780367260446
Издательство: Taylor&Francis
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Цена: 25265.00 р.
Наличие на складе: Нет в наличии.

Описание: This book covers developments and advances of algorithm based optimization techniques These techniques were only used for non-engineering problems. This book applies them to engineering problems.

Metaheuristics for Production Systems

Автор: El-Ghazali Talbi; Farouk Yalaoui; Lionel Amodeo
Название: Metaheuristics for Production Systems
ISBN: 3319233491 ISBN-13(EAN): 9783319233499
Издательство: Springer
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Цена: 20962.00 р.
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Описание: Metaheuristics for Production Systems

Trends in Developing Metaheuristics, Algorithms, and Optimization Approaches

Автор: Peng-Yeng Yin
Название: Trends in Developing Metaheuristics, Algorithms, and Optimization Approaches
ISBN: 1466621451 ISBN-13(EAN): 9781466621459
Издательство: Mare Nostrum (Eurospan)
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Цена: 28413.00 р.
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Описание: Provides insight on the latest advances and analysis of technologies in metaheuristics computing. Offering widespread coverage on topics such as genetic algorithms, differential evolution, and ant colony optimization, this book aims to be a forum researchers, practitioners, and students who wish to learn and apply metaheuristic computing.

Metaheuristics:

Автор: Toshihide Ibaraki; Koji Nonobe; Mutsunori Yagiura
Название: Metaheuristics:
ISBN: 1441937900 ISBN-13(EAN): 9781441937902
Издательство: Springer
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Цена: 21661.00 р.
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Описание: Metaheuristics: Progress as Real Problem Solvers is a peer-reviewed volume of eighteen current, cutting-edge papers by leading researchers in the field.

Essays and Surveys in Metaheuristics

Автор: Celso C. Ribeiro; Pierre Hansen
Название: Essays and Surveys in Metaheuristics
ISBN: 1461355885 ISBN-13(EAN): 9781461355885
Издательство: Springer
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Цена: 27950.00 р.
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Описание: Tech- niques such as simulated annealing, tabu search, genetic algorithms, scatter search, greedy randomized adaptive search, variable neighborhood search, ant systems, and their hybrids are currently among the most efficient and robust optimization strategies to find high-quality solutions to many real-life optimiza- tion problems.

Applications of Metaheuristics in Process Engineering

Автор: Jayaraman Valadi; Patrick Siarry
Название: Applications of Metaheuristics in Process Engineering
ISBN: 3319357042 ISBN-13(EAN): 9783319357041
Издательство: Springer
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Цена: 13275.00 р.
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Описание: Metaheuristics exhibit desirable properties like simplicity, easy parallelizability and ready applicability to different types of optimization problems such as real parameter optimization, combinatorial optimization and mixed integer optimization.

Hybrid Metaheuristics

Автор: Maria J. Blesa; Christian Blum; Angelo Cangelosi;
Название: Hybrid Metaheuristics
ISBN: 3319396358 ISBN-13(EAN): 9783319396354
Издательство: Springer
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Цена: 6988.00 р.
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Описание: This book constitutes the refereed proceedings of the 10th International Workshop on Hybrid Metaheuristics, HM 2016, held in Plymouth, UK, in June 2016. The 15 revised full papers presented were carefully reviewed and selected from 43 submissions.

Theory and Principled Methods for the Design of Metaheuristics

Автор: Yossi Borenstein; Alberto Moraglio
Название: Theory and Principled Methods for the Design of Metaheuristics
ISBN: 3662519550 ISBN-13(EAN): 9783662519554
Издательство: Springer
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Цена: 11878.00 р.
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Описание: This book describes methods for incorporating problem knowledge in evolutionary algorithms and other metaheuristics, and shows how statistical methods can use experimental data to enhance the performance of existing metaheuristics in a systematic way.

Metaheuristics and Optimization in Computer and Electrical Engineering

Автор: Razmjooy Navid, Ashourian Mohsen, Foroozandeh Zahra
Название: Metaheuristics and Optimization in Computer and Electrical Engineering
ISBN: 3030566889 ISBN-13(EAN): 9783030566883
Издательство: Springer
Цена: 18167.00 р.
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Описание: The use of artificial intelligence, especially in the field of optimization is increasing day by day. The purpose of this book is to explore the possibility of using different kinds of optimization algorithms to advance and enhance the tools used for computer and electrical engineering purposes.

Metaheuristics

Автор: Patrick Siarry
Название: Metaheuristics
ISBN: 3319454013 ISBN-13(EAN): 9783319454016
Издательство: Springer
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Цена: 19564.00 р.
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Описание: Introduction.- Simulated Annealing.- Tabu Search.- Search in Variable Neighborhoods.- The GRASP Search Algorithm.- Evolutionary Algorithms.- Artificial Ants.- Particle Swarms.- Other Metaheuristics.- Other Social Insect Algorithms.- Extending Evolutionary Algorithms for Multiobjective Optimization.- Extending Evolutionary Algorithms for Optimization Under Constraints.- Modeling and Comparison Methods.- Hybrid Metaheuristics for Optimizing Logistics.- Metaheuristics for Vehicle Routing Problems.- Applications in Air Traffic Management.


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